This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment.
In the context of the political instability that has prevailed since the uprising in Libya (October 2011) and culminated in the collapse of a fragile central authority accompanied by fragmentation and infighting among myriads of militias, with continued fighting since the mid-2014 escalations, estimates indicate that the number of Internally Displaced Per-sons (IDPs) in Libya has exceeded 400,000 individuals, some eight percent of the total population (HNO, September 2015). While the country struggles to achieve and maintain stability, thousands of migrants are also taking journeys to and through Libya in a desperate bid to seek a better life in Europe. These migrants are exposed to risks of being trafficked and exploited while traveling through dangerous routes in deserts and territories controlled by different armed groups, as well as dying during attempts to cross the Mediterranean Sea.
However, there has been no standardized mechanism in place to verify and regularly update IDP and migrant numbers. Given that most humanitarian and international organizations operate remotely from Tunis since mid-July 2014 due to the deteriorating security situation, maintaining access to reliable and updated data on the humanitarian situation in Libya has been challenging.

This collection of datasets is related to the Lake Chad Basin crisis visualization. The collection includes key crisis figures, Number of IDPs and refugees; number of incidents by location; Accessible territories; and data on funding.

A 6.4 magnitude earthquake has struck off Lombok, province of West Nusa Tenggara, Indonesia which affected the three districts of North Lombok, East Lombok and West Lombok. The dataset contains age-and-sex disaggregated displaced people at sub national level. The dataset, also, has place of origin, needs of the displaced people and camp locations and status.

The dataset contains IDPs, returnees at sub national level. The dataset also has reason of displacement, origin and dates of multiple displacements.
The context of displacement in Mali remains complex and fluid. Movements of IDPs currently residing in the southern regions to the northern regions continue to be reported. While some have indicated that they have returned definitively, other IDPs say they travel back and forth between the place of travel and the place of origin. New displacements also continue to be reported, inter-community conflicts, insecurity and clashes, or the prospect of a possible clash between armed groups being among the reasons given for these new displacements.
In order to meet the needs of the internally displaced, repatriated and returned populations, the Population Movement Commission (CMP) collects and analyzes information on population movements within Mali, in order to provide a complete picture of population movements and at the request of its partners. The members of the Commission are: the General Directorate of Civil Protection (Ministry of Internal Security), UNHCR, OCHA, WFP, UNICEF, ACTED, NRC, DRC, Handicap International, Solidarity International, CRS, IOM, and DNDS. Several other entities regularly participate in Commission meetings.

The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation.
The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.

The overall objective of the assessment was to inform multi-cluster humanitarian programming for the Afghanistan response by identifying inter-sectoral needs and how they inter-relate across different geographic locations and population groups outlined in the Humaniarian Needs Overview (HNO).
The Whole of Afghanistan (WoA) Assessment was based on a mixed methods approach, employing a quantified household-level survey, key informant interviews, and focus group discussions to collect a wide range of data. The presented dataset includes the data from the household-level survey, generalisable at the provincial level for all population groups combined with a 95% confidence level and 5% margin of error, and generalisable at the regional level for each population group individually with a confident level of 95% and margin of error of 5%. This was done to capture inter-sectoral needs of displaced and host households in each province of Afghanistan.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment.
Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.

In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.

Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.